Ricardo Henao

Associate Professor of Biostatistics & Bioinformatics · 2024 - Present Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics

Associate Professor in the Department of Electrical and Computer Engineering · 2024 - Present Electrical and Computer Engineering, Pratt School of Engineering

Associate Professor in Surgery · 2025 - Present Surgery, Minimally Invasive Surgery, Surgery

Member of Duke Center for Applied Genomics and Precision Medicine · 2014 - Present The Precision Medicine Program, Medicine

Member in the Duke Clinical Research Institute · 2024 - Present Duke Clinical Research Institute, Institutes and Centers

In the News

Published May 23, 2025

Provost Launches AI Initiative and Steering Committee

Published September 14, 2020

Duke Researchers Look to Help Protect Astronaut's Eyes in Space

Published March 16, 2016

New Collaborative Seed Grant Program Gives Eight Awards

View All News

Recent Publications

Adverse pregnancy outcomes and development of short-term cardiovascular disease risk factors.

Journal Article Am J Obstet Gynecol MFM · December 3, 2025 BACKGROUND: There are limited data defining the rate of progression of the development of adverse pregnancy outcomes and short-term cardiovascular risk factors in a contemporary cohort. OBJECTIVE: This study aimed to examine the association between adverse ... Full text Link to item Cite

Assessing Scale and Predictive Diversity in Models for Single-Cell Transcriptomics based on Geneformer

Preprint · November 5, 2025 Full text Cite

A robust and data-efficient deep learning model for cardiac assessment without segmentation.

Journal Article BMC Med Imaging · October 22, 2025 UNLABELLED: Video-based deep learning (DL) algorithms often rely on segmentation models to detect clinically important features in transthoracic echocardiograms (TTEs). While effective, these algorithms can be too data hungry for practice and may be sensit ... Full text Link to item Cite

View All Publications

Recent Grants

Machine Learning Guided Precision Genetic Testing for Identification of Monogenic Cardiovascular Disorders

ResearchSignificant Contributor · Awarded by National Heart, Lung, and Blood Institute · 2024 - 2028

Synthesizing immunoinformatics and genetic epidemiology to identify signatures of natural functional immunity to malaria parasites

ResearchCollaborator · Awarded by National Institute of Allergy and Infectious Diseases · 2023 - 2028

Leveraging machine learning for cardiovascular disease risk prediction and prevention in women with a history of adverse pregnancy outcomes

ResearchCo Investigator · Awarded by Brigham and Women's Hospital · 2023 - 2027

View All Grants

Education, Training & Certifications

Technical University of Denmark (Denmark) · 2011 Ph.D.